System and method for construction estimation using aerial images

ABSTRACT

A system and method for construction estimation using aerial images is provided. The system receives at least one aerial image of a building. An estimation engine processes the aerial image at a plurality of angles to automatically identify a plurality (e.g., perimeter and interior) lines in the image corresponding to a plurality of features of a roof the building. The estimation engine allows users to generate two-dimensional and three-dimensional models of the roof by automatically delineating various roof features, and generates a report including information about the roof of the building.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates generally to the field of constructionestimation. More specifically, the present invention relates to a systemand method for construction estimation using aerial images.

2. Related Art

In the construction and insurance industries, accurate and rapidestimation of construction materials and costs is important. Forexample, such information is often used by construction professionals tospecify materials and associated costs for both newly-constructedbuildings, as well as for replacing and upgrading existing structures.Further, in the insurance industry, accurate information aboutconstruction materials and costs is critical to determining the propercosts for insuring buildings/structures.

It is of particular importance in the construction and insuranceindustries to quickly and accurately estimate various parametersregarding roof structures, such as roof dimensions, pitches, surfaces,areas, and associated material costs. To this end, various softwaresystems have been implemented to estimate roofing materials and roofingcosts. Such systems process aerial images (e.g., using digitalphotographs taken from airplanes flying over buildings) and allow usersto estimate construction materials and costs by delineating the boundsof a roof, and by calculating dimensions based upon the delineatedbounds. However, such systems are time-consuming and difficult to use.Indeed, such systems often require a large amount of manual input by theuser (e.g., by manually delineating roof boundaries using a mouse andgraphical user interface) before a roof model or estimation report canbe generated.

In view of existing technology in this field, what would be desirable isa system that processes aerial images of a building structure andautomatically performs steps to quickly and efficiently assist a user inthe roof estimation process. Specifically, what would be desirable is asystem that automatically delineates roof boundaries in an image of abuilding or a structure with minimal user intervention, automaticallycreates a model of the roof structure, and automatically generates aroof estimation report which includes useful information about the roofincluding material costs and dimensions of the roof. Accordingly, whatwould be desirable, but has not yet been provided, is a system andmethod for construction estimation using aerial images which addressesthe foregoing needs.

SUMMARY OF THE INVENTION

The present invention relates to a system and method for constructionestimation using aerial images. The system includes a computer systemfor receiving at least one aerial image of a building, and an estimationengine for processing the aerial image to estimate one or more featuresrelating to a roof of the building, the estimation engine histogramprocessing the aerial image at a plurality of angles to automaticallyidentify a plurality of lines in the image corresponding to features ofa roof the building.

A method for building estimation is also provided. The method comprisesthe steps of receiving at a computer system at least one aerial image ofa building, histogram processing the aerial image at a plurality ofangles using an estimation engine in the computer system toautomatically identify a plurality of lines in the image correspondingto a plurality of feature of a roof of the building, constructing athree-dimensional wireframe model of the roof using the plurality oflines, and processing the three-dimensional model of the roof using theestimation engine to generate a report including information about theroof of the building.

A non-transitory, computer-readable medium is also provided. Thecomputer readable medium includes computer-readable instructions storedthereon which, when executed by a computer system, cause the computersystem to perform the steps comprising receiving at a computer system atleast one aerial image of a building, histogram processing the aerialimage at a plurality of angles using an estimation engine in thecomputer system to automatically identify a plurality of lines in theimage corresponding to a plurality of feature of a roof of the building,constructing a three-dimensional wireframe model of the roof using theplurality of lines, and processing the three-dimensional model of theroof using the estimation engine to generate a report includinginformation about the roof of the building.

BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing features of the invention will be apparent from thefollowing Detailed Description of the Invention, taken in connectionwith the accompanying drawings, in which:

FIG. 1 is a diagram showing the system of the present invention forconstruction estimation using aerial images;

FIG. 2 is a flowchart showing overall processing steps carried out bythe system of the present invention;

FIGS. 3A-3L are screenshots showing operation of the system of thepresent invention in detail;

FIGS. 4A-4B are views of a sample estimation report generated by thepresent invention;

FIG. 5 is a flowchart showing processing steps carried out by thepresent invention for processing an aerial image to automaticallyidentify roof lines; and

FIGS. 6A-6K are views illustrating the steps of FIG. 5 for processing anaerial image to automatically identify roof lines.

DETAILED DESCRIPTION OF THE INVENTION

The present invention relates to a system and method for constructionestimation using aerial images, as discussed in detail below inconnection with FIGS. 1-6K.

FIG. 1 is a diagram showing the system of the present invention,indicated generally at 10. The system 10 comprises a computer system 12(e.g., a server) having an aerial image database 14 stored therein andan estimation software engine (module) 16. The database 14 could bestored on the computer system 12, or located externally (e.g., in aseparate database server in communication with the system 10). As willbe discussed in greater detail below, the estimation engine 16 allowsusers to generate three-dimensional models of roofs andbuildings/structures to estimate dimensions of such structures as wellas material costs and other parameters. Importantly, the estimationengine 16 allows users to easily generate such models by automaticallydelineating various roof structures such as eaves, hips, ridges,valleys, etc.

The system 10 can communicate through a network 18 with one or more of avariety of image providers to obtain aerial images or photographs of abuilding structure 20 and can store them in the aerial image database 14in any suitable format, such as JPEG, TIFF, GIF, etc. Networkcommunication could be over the Internet using standard TCP/IPcommunications protocols (e.g., hypertext transfer protocol (HTTP),secure HTTP (HTTPS), file transfer protocol (FTP), electronic datainterchange (EDI), etc.), through a private network connection (e.g.,wide-area network (WAN) connection, e-mails, electronic data interchange(EDI) messages, extensible markup language (XML) messages, file transferprotocol (FTP) file transfers, etc.), or any other suitable wired orwireless electronic communications format.

Image providers that the computer system 12 could communicate withinclude, but are not limited to, an airplane 22 having a camera 24capable of capturing images of the structure 20, and/or a third-partyaerial image provider 26, such as Pictometry, Google, or Bing. Althoughimages of any quality can be used, high-quality images free fromobstructions (e.g., trees, shadows, snow, etc.) are preferred.

The computer system 12 could be any suitable computer server (e.g., aserver with an INTEL microprocessor, multiple processors, multipleprocessing cores) running any suitable operating system (e.g., Windowsby Microsoft, Linux, etc.). The computer system 12 includes non-volatilestorage, which could include disk (e.g., hard disk), flash memory,read-only memory (ROM), erasable, programmable ROM (EPROM),electrically-erasable, programmable ROM (EEPROM), or any other type ofnon-volatile memory. The estimation engine 16, discussed in greaterdetail below, could be embodied as computer-readable instructions storedin computer-readable media (e.g., the non-volatile memory mentionedabove), and programmed in any suitable programming language (e.g., C,C++, Java, etc.).

The system 10 could be web-based and could allow for remote access tothe system 10 over a network 28 (e.g., Internet, WAN, LAN, etc.) by oneor more devices, such as a personal computer system 30, a smart cellulartelephone 32, a tablet computer 34, or other devices. It is alsocontemplated that at least some of the functionality of the system 10could run locally on devices (e.g., personal computer 30, smart cellulartelephone 32, tablet computer 34, etc.) programmed with software inaccordance with the present invention. It is conceivable that, in suchcircumstances, the device could communicate with a remote aerial imagedatabase over a network 28.

FIG. 2 is a flowchart showing overall processing steps 40 carried out bythe estimation engine 16 of the system 10. Reference is also made hereinto FIGS. 3A-4B, which are views showing operation of the estimationengine 16. Beginning in step 42, as shown in FIG. 3A, a graphical userinterface 80 is generated by the estimation engine 16 and presented to auser to allow the user to select an aerial image 82 of a building orstructure, preferably from the aerial image database 14. Then, in step44, the user can crop the image 82 by selecting a roof 86 from the image82 using a selection tool 84 of the graphical user interface 80, e.g.,by creating a box around the desired area. In step 46, as shown in FIG.3B, the estimation engine 16 automatically rotates the roof 86 of thecropped image 82 so that the image 82 is aligned vertically andhorizontally using roof lines 88, 90.

The process for aligning the image 82 is described as follows. First,the processing steps discussed in detail below in connection with FIG. 5are carried out to automatically identify perimeter and interior rooflines in the image. Using this information, a sequence of points areidentified in each direction (e.g., 360 degrees) and are defined as raysin the set {raycast}, and include top ray {top}, bottom ray {bottom},left ray {left}, and right ray {right}. Then, for each ray in the set{raycast}, the sequence of points are divided into |raycast|−2 subsetsof two sequences made up of points {{0 . . . 1}, {2 . . . |raycast|−1}},{{0 . . . 2}, {3 . . . |raycast|−1}} to {{0−|raycast| . . . 3},{|raycast|−2 . . . |raycast|−1}} where |raycast| is the length of thesequence and 0 . . . 1 is the indices of the first and second point and2 . . . |raycast|−1 is the remaining points in the sequence. For each ofthese subsequences {{0 . . . n}, {n+1 . . . |raycast|−1}}, the two pointsets are treated as plots and their linear slope is found using linearregression. The difference between slopes is found, and only the maximumdifference is retained. After iterating through every subsequence in theset {raycast}, if the maximum difference is greater than a specifiedthreshold, the sequence is split at that point and the process isrecursively repeated for each of the subsequences. Once all subsequencescan no longer be divided, the length and slope of each subsequence iscached for further use. Finally, slopes are identified which aresimilar, and their lengths are combined. The slopes are then used toidentify the roof lines 88, 90, which are then used to align the image82 vertically and horizontally.

Then in step 48, as shown in FIG. 3C, the estimation engine 16 usesimage processing algorithms to automatically identify and delineateperimeter lines 92 of the roof 86 to form a closed polygon or a boundedarea. In step 50, a user decides whether the estimation engine 16 hascorrectly identified the perimeter lines 92 or whether adjustments oralterations must be made. If alterations are required, step 52 occurswhere, as shown in FIG. 3D, the user manually adjusts the perimeterlines 92 to create corrected perimeter lines 94, such as by clicking onthe corners of the roof 86 that were not correctly identifiedautomatically. As the user clicks on or moves the cursor toward a rooffeature (e.g., a corner), the estimation engine 16 could automaticallysuggest potential changes to the outline of the perimeter, by way ofdashed lines 94 as shown in FIG. 3D. The user can confirm changes byclicking on the dashed lines 94, which converts the dashed lines tosolid lines.

After perimeter line alterations have been made, or if no alterationsare determined to be needed in step 50, the process proceeds to step 54where, as shown in FIG. 3E, the estimation engine 16 automaticallyidentifies and delineates interior lines 96 (e.g., ridges and valleys)and interior intersections 98 of the roof 86. Different roof featurescan be identified and distinguished using lines of different colors(e.g., ridges as red lines, valleys as blue lines, etc.). The user canmove the mouse cursor over certain sections of the roof, such asintersection 98, and the system evaluates that section (e.g., byevaluating the proximity and configuration of existing adjacent pointsand other detected and identified lines) and automatically delineatescolored dashed lines 96 as suggestions for lines to be included in themodel. The user can then confirm the line, change the type of line, orreject the line. Once confirmed by the user, the dashed lines 96 areconverted to solid lines 100, as shown in FIG. 3F. In step 56, adetermination is made as to whether all lines have been found. If anegative determination is made, step 54 is repeated. Otherwise, if alllines have been identified (e.g., including the lines 102, 104, 106 inFIG. 3F, as well as any other lines corresponding to roof structures), atwo-dimensional wireframe of the roof is created based on the perimeterlines and interior lines discussed above.

The two-dimensional model 110 is shown in FIG. 3G. The model 110 can beprocessed, either automatically by the engine 16 or through manual usermanipulation, into a three-dimensional model. Thus, in step 59, adecision is made as to whether to automatically or manually create thethree-dimensional model. If automatic creation is to be performed, athree-dimensional wireframe of the roof is created in step 61, based onthe perimeter lines and interior lines. In this regard, the estimationengine 16 creates closed polygon surfaces, as shown in FIG. 3G, thatrepresent the roof faces, and then calculates and assigns an orientation(e.g., direction of slope) based on roof constraints for each face.Using a center of mass calculation, the engine 16 selects a prominentface and assigns it a default slope. The slopes of the other faces arethen iteratively calculated by the engine 16 based on constraintsimposed by the relationship of lines between adjacent faces andorientations of the faces. Also, the user can manually enter a slope fora specific face and the engine 16 will recalculate the slope of theadjacent faces based on the manual slope entry. A three dimensionalwireframe model is then created based on the slopes, as shown in FIG.3H. The process then proceeds to step 70 discussed below.

If manual creation of the three-dimensional model is to be performed,the process proceeds to step 60, as shown in FIG. 3I, where an obliqueimage 112 is selected, preferably from the aerial database 14. Then, instep 62, the wireframe 110 is superimposed over the oblique image 112either by the user or automatically by the estimation engine 16. Then instep 64, as shown in FIGS. 3J-3K, a plurality of points on the wireframe110 are matched with a plurality of corresponding points on the roof 86of the oblique image 112, and the wireframe 110 is deformed as a result.The plurality of points could be on eave edges and/or at the same eaveheight. For example, a user could match three corners 104, 116, 118 ofthe wireframe 110 with three corresponding points of the roof 86 in theoblique image 112, causing the wireframe 110 to deform accordingly.Then, the user clicks and drags the interior points of the wireframe 110to corresponding locations on the roof 86 of the oblique image 112(e.g., the ridge lines of the roof 86), until the wireframe 110 outlinesall of the perimeter lines and interior lines of the roof 86 in theoblique image 112. It is noted that this process could also be carriedout automatically by the estimation engine 16. The final, deformedwireframe is shown in FIG. 3L. In step 66, the estimation engine 16calculates roof pitches 120 based on the deformations of thesuperimposed wireframe 110, as shown in FIG. 3L.

In step 68, a user could optionally set eave heights to fine-tune thewireframe 110, and the estimation engine 16 would recalculate pitchesbased thereon. For example, the user could use an eave edit handle 122on the midpoint of each eave line of the wireframe 110 to adjust theslope of one or more faces of the wireframe 110 by clicking anddragging. Alternatively, the user could click and drag the entirewireframe 110 until the eave line of the wireframe 110 overlays the eaveline of the roof 86 of the oblique image 112.

Proceeding to step 70, as shown in FIGS. 4A-4B, the system 10 generatesa report. The report could comprise a two-dimensional wireframe model130, a three-dimensional model, and/or one or more charts 132 containingconstruction information (e.g., roof dimensions, pitches, surfaces, andareas, and associated material costs). Other types of information, suchas waste calculations, could also be included in the report. The reportcould have an XML flag as a way to verify that a roof model was createdby the system 10. The system 10 could also require that a model have anXML flag before including the model in the report or beforeautomatically generating the report.

FIG. 5 is a flowchart showing more detailed processing steps 140 carriedout by the estimation engine 16 for processing an aerial image toautomatically identify roof lines. Reference is also made herein toFIGS. 6A-6K, which are views illustrating the steps carried out in FIG.5. Beginning with step 142, as shown in FIG. 6A, an aerial image isselected. A portion of the image containing the roof is selected in step144, as shown in FIG. 6B, and the image is then cropped in step 146, asshown in FIG. 6C. The image is then converted to grayscale in step 148,as shown in FIG. 6D. In step 150, as shown in FIG. 6E, a filter isapplied to the grayscale image, such as a Sobel filter, although it isnoted that a filter could be applied without first converting the imageto grayscale. The Sobel filter calculates the gradient of imageintensity at each point in the image, giving a direction and rate ofchange to the largest increases from light to dark. The estimationengine 16 computes the likelihood that a point in the image represents aperimeter or interior line of a roof based on the direction andmagnitude of the greatest intensity increase. In step 152, as shown inFIG. 6F, a Gaussian filter or blur could be applied to the image todecrease blur and/or sharpen the image.

In step 154, as shown in FIG. 6G, the image is rotated by a first angleθ (e.g., 48 degrees), as shown in FIG. 6G, and then histogram processingis performed on the rotated image in step 156. The horizontal linesshown in FIGS. 6G-6I correspond to the direction of scan for imageintensity. In step 158, a determination is made as to whether furtherhistogram processing is required. If so, the process repeats until theimage has been processed at a sufficient number of angles. It has beenfound that histograms taken at one degree increments (e.g., from 0through 360 degrees) have provided excellent results, but otherincrements and/or number of histograms used are possible. Indeed, asshown in FIG. 6H, the image could be rotated to align vertically andthen histogram processed, and/or the image could be rotated to alignhorizontally and then histogram processed, as shown in FIG. 6I. Ofcourse any other angles could be used.

In step 160, as shown in FIG. 6J, grid lines could be superimposed onthe image, such as at perimeter lines, interior lines, and/or points ofintersection. The grid lines can be used to segment/divide the imageinto sub-images, each of which are processed in accordance with thepresent invention. The grid lines need not be shown to the user, andindeed, can be used solely for purposes of image processing.

The histograms generated at the plurality of angles indicate theprobability that a given feature in the image corresponds to a line(e.g., to a perimeter line or to an interior line corresponding a rooffeature). In step 162, the histogram data (e.g., all of the histogramsgenerated in steps 156-158) is processed to identify lines (e.g.,perimeter and interior lines) corresponding to roof features. Forexample, in step 162, cluster analysis could be performed on thehistograms to identify the lines (e.g., perimeter or interior lines).Thus, by application of the foregoing image processing techniques, theestimation engine 16 can scan the entire image and detect and identifyall perimeter and interior lines. Finally, in step 164, as shown in FIG.6K, a filtered image is generated and used by the estimation engine 16to automatically delineate perimeter lines and interior lines in the GUI80 shown in FIGS. 3A-3F.

As noted above, the estimation engine 16 can automatically identify thetype of roof feature to which a given line in the model corresponds.This is accomplished by rules-based pattern recognition performed by theestimation engine 16, which could vary according to the type of rooffeature to be automatically identified. For example, a set of rulescould be programmed into the estimation engine 16 such that a ridge or avalley is automatically identified for a given point on the image ifspecific lines are detected in proximity to a given point in the imageand/or if a pre-defined angle (or, range of angles) is detected betweensuch lines. If the estimation engine 16 is unable to identify the typeof line, the line could be temporarily marked as unknown andautomatically altered by the estimation engine 16 as more informationbecomes available. Subsequently, the user could then manually correctthe lines and line types if required.

Having thus described the invention in detail, it is to be understoodthat the foregoing description is not intended to limit the spirit orscope thereof. What is desired to be protected is set forth in thefollowing claims.

What is claimed is:
 1. A system for construction estimation, comprising:a computer system for receiving at least one aerial image of a building;and an estimation engine in said computer system for processing theaerial image to estimate one or more features relating to a roof of thebuilding, the estimation engine: processing the aerial image with afilter to compute a likelihood for each point in the aerial imageindicating whether the point represents a roof line; scanning the aerialimage at a first angle to obtain first image intensity data; rotatingthe aerial image to a second angle different from the first angle;scanning the aerial image at the second angle to obtain second imageintensity data; processing the first and second image intensity data toautomatically identify a plurality of lines in the aerial imagecorresponding to one or more features of the roof; constructing atwo-dimensional model of the roof using the plurality of linesidentified in the aerial image; and manipulating the two-dimensionalmodel into a three-dimensional model of the roof by displaying thetwo-dimensional model superimposed onto an oblique image of the roof andallowing the user to click and drag perimeter and interior points of thetwo-dimensional model to corresponding points on the oblique image ofthe roof.
 2. The system of claim 1, further comprising a graphical userinterface for displaying the aerial image of the building, theestimation engine automatically delineating the plurality of lines inthe aerial image.
 3. The system of claim 2, wherein the two-dimensionalmodel further comprises a two-dimensional wireframe model of the roof,the two-dimensional wireframe model including the plurality of linesdelineated by the estimation engine.
 4. The system of claim 3, whereinthe estimation engine superimposes the two-dimensional wireframe modelof the roof on the oblique image.
 5. The system of claim 4, wherein thethree-dimensional model comprises a three-dimensional wireframe model ofthe roof.
 6. The system of claim 5, wherein the estimation engineprocesses the three-dimensional wireframe model to calculate roofdimensions and pitches, and generates a report including the calculatedroof dimensions and pitches.
 7. The system of claim 5, wherein theestimation engine processes the three-dimensional wireframe model tocalculate material costs associated with the roof, and generates areport including the calculated material costs.
 8. The system of claim1, wherein the estimation engine crops the aerial image around thebuilding.
 9. The system of claim 8, wherein the estimation engineautomatically aligns the aerial image.
 10. The system of claim 9,wherein the estimation engine applies at least one filter to the image.11. The system of claim 1, wherein the estimation engine allows a userto adjust one or more of the plurality of lines automatically identifiedby the estimation engine.
 12. The system of claim 1, wherein theestimation engine automatically identifies perimeter and interior linesin the aerial image corresponding to one or more features of the roof.13. A method for construction estimation, comprising the steps of:receiving at a computer system at least one aerial image of a building;processing the aerial image with a filter to compute a likelihood foreach point in the aerial image indicating whether the point represents aroof line; scanning the aerial image at a first angle to obtain firstimage intensity data; rotating the aerial image to a second angledifferent than the first angle; scanning the aerial image at the secondangle to obtain second image intensity data; processing the first andsecond image intensity data using an estimation engine in the computersystem to automatically identify a plurality of lines in the aerialimage corresponding to a plurality of features of a roof; constructing atwo-dimensional model of the roof using the plurality of lines;manipulating the two-dimensional model into a three-dimensional model ofthe roof by displaying the two-dimensional model superimposed onto anoblique image of the roof and allowing the user to click and dragperimeter and interior points of the two-dimensional model tocorresponding points on the oblique image of the roof; and processingthe three-dimensional model of the roof using the estimation engine togenerate a report including information about the roof of the building.14. The method of claim 13, further comprising generating and displayinga graphical user interface including the aerial image of the building,the estimation engine automatically delineating the plurality of linesin the graphical user interface.
 15. The method of claim 13, wherein thestep of generating the two-dimensional model comprises generating atwo-dimensional wireframe model of the roof, the wireframe modelincluding the plurality of lines.
 16. The method of claim 15, furthercomprising superimposing the two-dimensional wireframe model of the roofon the oblique image.
 17. The method of claim 16, wherein the step ofmanipulating the two-dimensional model comprises deforming thetwo-dimensional wireframe model into a three-dimensional wireframe modelof the roof.
 18. The method of claim 13, further comprising processingthe three-dimensional model to calculate roof dimensions and pitches,and including the calculated roof dimensions and pitches in the report.19. The method of claim 13, further comprising processing thethree-dimensional model to calculate material costs associated with theroof, and including the calculated material costs in the report.
 20. Themethod of claim 13, further comprising cropping the aerial image aroundthe building.
 21. The method of claim 20, further comprisingautomatically aligning the aerial image.
 22. The method of claim 21,further comprising applying at least one filter to the image.
 23. Themethod of claim 13, further comprising allowing a user to adjust one ormore of the plurality of lines automatically identified by theestimation engine.
 24. The method of claim 13, further comprisingautomatically identifying perimeter and interior lines in the aerialimage corresponding to one or more features of the roof.
 25. Anon-transitory, computer-readable medium having computer-readableinstructions stored thereon which, when executed by a computer system,cause the computer system to perform the steps comprising: receiving atthe computer system at least one aerial image of a building; processingthe aerial image with a filter to compute a likelihood for each point inthe aerial image indicating whether the point represents a roof line;scanning the aerial image at a first angle to obtain first imageintensity data; rotating the aerial image to a second angle differentthan the first angle; scanning the aerial image at the second angle toobtain second image intensity data; processing the first and secondimage intensity data using an estimation engine in the computer systemto automatically identify a plurality of lines in the aerial imagecorresponding to a plurality of features of a roof; constructing atwo-dimensional model of the roof using the plurality of lines;manipulating the two-dimensional model into a three-dimensional model ofthe roof by displaying the two-dimensional model superimposed onto anoblique image of the roof and allowing the user to click and dragperimeter and interior points of the two-dimensional model tocorresponding points on the oblique image of the roof processing themodel of the roof using the estimation engine to generate a reportincluding information about the roof of the building.
 26. Thecomputer-readable medium of claim 25, further comprisingcomputer-readable instructions for causing the computer system toperform the steps of generating and displaying a graphical userinterface including the aerial image of the building, the estimationengine automatically delineating the plurality of lines in the graphicaluser interface.
 27. The computer-readable medium of claim 25, whereinthe step of creating the two-dimensional model comprises generating atwo-dimensional wireframe model of the roof, the wireframe modelincluding the plurality of lines.
 28. The computer-readable medium ofclaim 27, further comprising computer-readable instructions for causingthe computer system to perform the step of superimposing thetwo-dimensional wireframe model of the roof on the oblique image. 29.The computer-readable medium of claim 28, wherein the step ofmanipulating the two-dimensional model comprises deforming thetwo-dimensional wireframe model into a three-dimensional wireframe modelof the roof.
 30. The computer-readable medium of claim 25, furthercomprising computer-readable instructions for causing the computersystem to perform the steps of processing the three-dimensional model tocalculate roof dimensions and pitches, and including the calculated roofdimensions and pitches in the report.
 31. The computer-readable mediumof claim 25, further comprising computer-readable instructions forcausing the computer system to perform the steps of processing thethree-dimensional model to calculate material costs associated with theroof, and including the calculated material costs in the report.
 32. Thecomputer-readable medium of claim 25, further comprisingcomputer-readable instructions for causing the computer system toperform the step of cropping the aerial image around the building. 33.The computer-readable medium of claim 32, further comprisingcomputer-readable instructions for causing the computer system toperform the step of automatically aligning the aerial image.
 34. Thecomputer-readable medium of claim 33, further comprisingcomputer-readable instructions for causing the computer system toperform the step of applying at least one filter to the image.